Dataset Information

Substance use and criminogenic thinking: Longitudinal latent class analysis of veterans with criminal histories.

ABSTRACT:

Introduction

The objective of this study was to inform clinical practice by identifying distinct subgroups of US veterans with criminal histories in residential mental health treatment. The study characterized veteran patients on their alcohol and drug use and criminogenic thinking. We also examined predictors and outcomes of subgroup membership.

Methods

Participants were 341 veterans with a criminal history in residential mental health care. A parallel latent growth trajectory model characterized participants' alcohol and drug use and criminogenic thinking at treatment entry and at 6- and 12-month follow-ups.

Results

The study identified four distinct classes: 53 % Normative Improvement, 27 % High Criminogenic Thinking, 11 % High Recurrence (of substance use), and 9 % High Drug Use. Compared to the Normative Improvement class, prior to treatment entry, patients in the High Recurrence class were less likely to be on parole or probation, and patients in the High Criminogenic Thinking class were more likely to be chronically homeless. Compared to the Normative Improvement class, at follow-ups, patients in the High Drug Use and High Criminogenic Thinking classes were more likely to recidivate, and patients in the High Drug Use class were more likely to report unstable housing. Depression scores were higher (nearly double) in the High Drug Use, High Recurrence, and High Criminogenic Thinking classes at follow-ups compared to the Normative Improvement class.

Conclusions

That the Normative Improvement class entered mental health residential treatment with relatively low alcohol and drug use and criminogenic thinking, and sustained these low levels, suggests that treatment does not need to be broadened or intensified to improve these domains for these patients with criminal histories. In contrast, findings for the High Drug Use, High Recurrence, and High Criminogenic Thinking classes, which composed 47 % of the sample, suggest that more integrated and sustained treatment may be needed to reduce recidivism, depression, and homelessness among these patients.

SUBMITTER: Timko C

PROVIDER: S-EPMC9940453 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Substance use and criminogenic thinking: Longitudinal latent class analysis of veterans with criminal histories.

Timko Christine C Vest Noel N Cucciare Michael A MA Smelson David D Blonigen Daniel D

Journal of substance abuse treatment 20221001

<h4>Introduction</h4>The objective of this study was to inform clinical practice by identifying distinct subgroups of US veterans with criminal histories in residential mental health treatment. The study characterized veteran patients on their alcohol and drug use and criminogenic thinking. We also examined predictors and outcomes of subgroup membership.<h4>Methods</h4>Participants were 341 veterans with a criminal history in residential mental health care. A parallel latent growth trajectory mo ...[more]

PMID: 36215912

Similar Datasets

Project description:ObjectivePosttraumatic stress disorder (PTSD) is positively associated with involvement in the criminal justice system among veterans. Research that examines whether this association is confounded by risk factors ("criminogenic needs") from the risk-need-responsivity model of correctional rehabilitation can inform risk management with this population.HypothesesWe hypothesized that (a) veterans with probable PTSD would score higher on all criminogenic needs than veterans without PTSD and (b) probable PTSD would be associated with criminal history but not after accounting for criminogenic needs.MethodWe conducted secondary analyses of data from 341 veterans (95.3% male; 57.8% White/non-Hispanic/Latinx; Mage = 46.2 years) with a history of criminal justice system involvement who were admitted to mental health residential treatment. At treatment entry, participants completed interviews to assess criminal history, risk-need-responsivity-based criminogenic needs, and PTSD symptom severity. Cross-sectional analyses tested for differences between participants with and without probable PTSD on criminogenic needs and criminal history, and a multiple regression model examined the unique contributions of probable PTSD and criminogenic needs on criminal history.ResultsThe majority of the sample (74%, n = 251) met probable criteria for PTSD. Compared with veterans without PTSD, those with probable PTSD scored significantly higher on criminogenic needs of antisocial personality patterns, antisocial cognitions, antisocial associates, substance use, and family/marital dysfunction but did not differ on multiple indices of criminal history (Cohen's ds = 0.60-0.86). In the regression model, higher age (β = 0.52, p < .001) and higher scores on measures of antisocial personality patterns (β = 0.19, p = .04) and antisocial cognitions (β = 0.22, p = .02) were significantly associated with higher scores on a criminal history index.ConclusionsThe findings suggest that veterans with probable PTSD may score higher on a number of criminogenic needs that are known to be drivers of recidivism. An approach that integrates trauma-informed and risk-need-responsivity principles to address veterans' dynamic criminogenic and clinical needs may be critical to risk management in this population. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Project description:IntroductionSuicide is the tenth leading cause of death in the United States and continues to be a major public health concern. Suicide risk is highly prevalent among individuals with co-occurring substance use disorders (SUD) and mental health disorders, making them more prone to adverse substance use related outcomes including overdose. Identifying individuals with SUD who are suicidal, and therefore potentially most at risk of overdose, is an important step to address the synergistic epidemics of suicides and overdose fatalities in the United States. The current study assesses whether patterns of suicidality endorsement can indicate risk for substance use and overdose.MethodsLatent class analysis (LCA) was used to assess patterns of item level responses to the Concise Health Risk Tracking Self-Report (CHRT-SR), which measures thoughts and feelings associated with suicidal propensity. We used data from 2,541 participants with SUD who were enrolled across 8 randomized clinical trials in the National Drug Abuse Treatment Clinical Trials Network from 2012 to 2021. Characteristics of individuals in each class were assessed, and multivariable logistic regression was performed to examine class membership as a predictor of overdose. LCA was also used to analyze predictors of substance use days.ResultsThree classes were identified and discussed: Class (1) Minimal Suicidality, with low probabilities of endorsing each CHRT-SR construct; Class (2) Moderate Suicidality, with high probabilities of endorsing pessimism, helplessness, and lack of social support, but minimal endorsement of despair or suicidal thoughts; and Class (3) High Suicidality with high probabilities of endorsing all constructs. Individuals in the High Suicidality class comprise the highest proportions of males, Black/African American individuals, and those with a psychiatric history and baseline depression, as compared with the other two classes. Regression analysis revealed that those in the High Suicidality class are more likely to overdose as compared to those in the Minimal Suicidality class (p = 0.04).ConclusionSuicidality is an essential factor to consider when building strategies to screen, identify, and address individuals at risk for overdose. The integration of detailed suicide assessment and suicide risk reduction is a potential solution to help prevent suicide and overdose among people with SUD.

Project description:BackgroundIn the USA, many states, including Colorado, have increased criminal penalties for illicit opioid possession, which may alter overdose risk. We aimed to evaluate the relationship between Colorado's increased drug-related criminal legal penalties, risk of overdose, and substance use patterns.MethodsWe used concept mapping - a mixed-methods approach used to develop a conceptual understanding of an issue from a community lens - to engage with people with living and/or lived experience with the criminal legal system, substance use, and/or overdose, their loved ones, and service providers. In facilitated discussion, we used the prompt: "Do you see overdose and substance use, in Colorado, being impacted by an individual's involvement with the criminal legal system?" Participants - recruited from community-based organizations - identified, rated, sorted, and categorized factors affecting criminal legal involvement, substance use, and/or overdose in their community. We used groupwisdom to develop concept maps and to analyze findings.ResultsTwenty-four individuals (ages 18-70) participated; most had living and/or lived experience. Participants identified 100 distinct factors, which were sorted into 9 clusters: societal impacts of criminal legal involvement, lifesaving benefits to decreased criminal legal penalties, environmental barriers of criminal legal involvement, structural barriers to recovery services, essential culturally aware community-based services, strategic allocation of funding, strategies to improve law enforcement's impact, changing policies to keep law enforcement accountable and better educate law enforcement on community culture, and community issues with law enforcement to prioritize. Of the 40 most influential and common factors, most related to structural impacts of criminal legal involvement and barriers to recovery (e.g., long waitlists, job loss).ConclusionsUsing concept mapping, we worked with community members to identify and prioritize factors associated with substance use and overdose amidst increasing drug-related criminal legal penalties. These insights (e.g., law enforcement's role should be acting as a bridge to mental health and recovery services) are critical for policymakers and service providers, as they speak to the need for investing in re-entry services, harm reduction services, and co-responder models for behavioral health crises.

Dataset Information

Substance use and criminogenic thinking: Longitudinal latent class analysis of veterans with criminal histories.

Introduction

Methods

Results

Conclusions

Publications

Substance use and criminogenic thinking: Longitudinal latent class analysis of veterans with criminal histories.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets